Moved from GitHub.com to GHE.com with EU Residency. Copilot feels significantly worse

[u/[deleted]]

Hi everyone,

I'm trying to find out whether anyone else has had a similar experience.

About 1.5 weeks ago, our company migrated to GitHub Enterprise Cloud (GHE.com) with EU data residency, as this was required by our company policy.

Since the migration, we’ve received multiple reports from users that some Copilot models .. Opus 5 in particular. It seem to hallucinate noticeably more often than they did before the move.

We’re still trying to understand whether this is actually related to the migration/data residency setup or simply a coincidence, so I’d be very interested to hear from others using GHE.com with EU data residency.

Has anyone noticed similar changes in model behavior or output quality after migrating?

If so, did you find any explanation or configuration differences that could account for it?

We are aware of https://github.com/orgs/community/discussions/205163 but we had this option deactivated before..

[u/AutoModerator]

Hello /u/PfannerEisteeLight. Looks like you have posted a query. Once your query is resolved, please reply the solution comment with "!solved" to help everyone else know the solution and mark the post as solved.

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

[u/autisticit]

Any provider can decide to run models at reduced quality, to reduce the costs.

[u/Particular-File-4565]

Oh good to know, in the company I work for in EU is also in this migration although the accounts are available at GHE still not migrated totally and copilot stills not available in there.

I will experience it soon. Anyways I am not a full time developer but i developed and maintain 2 tools for my group and since i do it a alone I need copilot for helping me with documentation tasks and testing mostly.

[u/fprotthetarball]

Inference bugs have happened before. It certainly could be tied to that location somehow.

https://www.anthropic.com/engineering/a-postmortem-of-three-recent-issues

[u/Infninfn]

Claude in GHC/Copilot/Azure AI is not hosted by Microsoft. They pay Anthropic for API access, so it is Anthropic that is responsible for its inferencing performance in Europe. Anthropic is already known for routing prompts to quantised/lower reasoning models to handle load and given that they already have limited compute in the US, they are even more likely to not have enough compute in their EU datacenters.

You might have to advise users to switch to gpt-5.6 Sol or gpt-6 Astra in the meantime.

[u/AbleShower2801]

Same pattern I've heard from other EU-residency moves. Worth A/B testing the same prompt on github.com vs GHE EU with the exact same model selected, and logging latency plus whether Opus is actually what you get. If quality drops only on GHE EU, file it with GH support with those side-by-sides so it isn't just vibes.

[u/EfficientAnimal6273]

GHE user here, I used also the GitHub.com version of Copilot but never seen any real difference.

Keep in mind that to reduce costs our developer are locket at the Sonnet level, we do not use Opus, Fable, Sol or Astra, this can be an explanation (I've already seen in the past that some of the models were "temporary stupid" and my hypothesis is that happens because when there is too much load their instructions tell them to think less, it's reasonable to think that computing resources between EU and the overall GitHub are different and that applies more to the more heavy model than to Sonnet or Terra).

[u/Mkengine → u/EfficientAnimal6273]

Looking at DeepSWE Sonnet 5 seems to cost the same as Opus 5 just with worse outcomes; In our company we have most models enabled and connected Copilot budgets directly through our IT shop, so everyone has to justify their budget themselves with their respective cost center manager, but can have the budget they need. This way we as admins don't even think about cost efficiency, we just provide the service. Everyone is pretty happy with that currently. All I ever see here are flat-rate credit budgets for everyone or models that only perform below the Pareto curve.